Treffer: Using mathematical morphology for document skew estimation
Title:
Using mathematical morphology for document skew estimation
Authors:
Source:
Document recognition and retrieval XI (San Jose CA, 21-22 January 2004)SPIE proceedings series. 5296:182-191
Publisher Information:
Bellingham WA: SPIE, 2004.
Publication Year:
2004
Physical Description:
print, 27 ref
Original Material:
INIST-CNRS
Subject Terms:
Documentation, Electronics, Electronique, Optics, Optique, Physics, Physique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Technologie de la communication et de l'information, Information and communication technologies, Technologies de l'information: supports, équipements, Information technologies: storage media, equipment, Caractéristiques techniques, Technical characteristics, Sciences de l'information et de la communication, Information and communication sciences, Algorithme, Algorithm, Algoritmo, Angle inclinaison, Tilt angle, Angulo inclinación, Inclinaison, Tilt, Inclinación, Morphologie mathématique, Mathematical morphology, Morfología matemática, Numérisation, Digitizing, Numerización, Document numérisé, Digitized document
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Laboratoire A2SI, Groupe ESIEE Cité Descartes, BP99, 93162 Noisy-le-Grand, France
Rights:
Copyright 2004 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation
FRANCIS
FRANCIS
Accession Number:
edscal.16076125
Database:
PASCAL Archive
Weitere Informationen
We propose a concise definition of the skew angle of document, based on mathematical morphology. This definition has the advantages to be applicable both for binary and grey-scale images. We then discuss various possible implementations of this definition, and show that results we obtain are comparable to those of other existing algorithms.